Belle II Software light-2406-ragdoll
NewtonFitterGSL.cc
1/**************************************************************************
2 * basf2 (Belle II Analysis Software Framework) *
3 * Author: The Belle II Collaboration *
4 * *
5 * Forked from https://github.com/iLCSoft/MarlinKinfit *
6 * *
7 * Further information about the fit engine and the user interface *
8 * provided in MarlinKinfit can be found at *
9 * https://www.desy.de/~blist/kinfit/doc/html/ *
10 * and in the LCNotes LC-TOOL-2009-001 and LC-TOOL-2009-004 available *
11 * from http://www-flc.desy.de/lcnotes/ *
12 * *
13 * See git log for contributors and copyright holders. *
14 * This file is licensed under LGPL-3.0, see LICENSE.md. *
15 **************************************************************************/
16
17#undef NDEBUG
18
19#include "analysis/OrcaKinFit/NewtonFitterGSL.h"
20
21#include<iostream>
22#include<cmath>
23#include<cassert>
24
25#include "analysis/OrcaKinFit/BaseFitObject.h"
26#include "analysis/OrcaKinFit/BaseHardConstraint.h"
27#include "analysis/OrcaKinFit/BaseSoftConstraint.h"
28#include "analysis/OrcaKinFit/BaseTracer.h"
29#include <framework/logging/Logger.h>
30
31#include <gsl/gsl_block.h>
32#include <gsl/gsl_vector.h>
33#include <gsl/gsl_matrix.h>
34#include <gsl/gsl_permutation.h>
35#include <gsl/gsl_linalg.h>
36#include <gsl/gsl_blas.h>
37#include <gsl/gsl_cdf.h>
38
39using std::abs;
40
41static int nitdebug = 100;
42static int nitcalc = 0;
43static int nitsvd = 0;
44
45namespace Belle2 {
50 namespace OrcaKinFit {
51
52// constructor
53 NewtonFitterGSL::NewtonFitterGSL()
54 : npar(0), ncon(0), nsoft(0), nunm(0), ierr(0), nit(0), fitprob(0), chi2(0),
55 idim(0),
56 x(nullptr), xold(nullptr), xbest(nullptr), dx(nullptr), dxscal(nullptr), grad(nullptr), y(nullptr), yscal(nullptr),
57 perr(nullptr), v1(nullptr), v2(nullptr), Meval(nullptr),
58 M(nullptr), Mscal(nullptr), M1(nullptr), M2(nullptr), M3(nullptr), M4(nullptr), M5(nullptr), Mevec(nullptr),
59 CC(nullptr), CC1(nullptr), CCinv(nullptr), permM(nullptr), ws(nullptr),
60 wsdim(0), chi2best(0),
61 chi2new(0),
62 chi2old(0),
63 fvalbest(0), scale(0), scalebest(0), stepsize(0), stepbest(0),
64 scalevals{}, fvals{},
65 imerit(1),
66 debug(0)
67 {}
68
69// destructor
70 NewtonFitterGSL::~NewtonFitterGSL()
71 {
72
73 if (x) gsl_vector_free(x);
74 if (xold) gsl_vector_free(xold);
75 if (xbest) gsl_vector_free(xbest);
76 if (dx) gsl_vector_free(dx);
77 if (dxscal) gsl_vector_free(dxscal);
78 if (grad) gsl_vector_free(grad);
79 if (y) gsl_vector_free(y);
80 if (yscal) gsl_vector_free(yscal);
81 if (perr) gsl_vector_free(perr);
82 if (v1) gsl_vector_free(v1);
83 if (v2) gsl_vector_free(v2);
84 if (Meval) gsl_vector_free(Meval);
85 if (M) gsl_matrix_free(M);
86 if (Mscal) gsl_matrix_free(Mscal);
87 if (M1) gsl_matrix_free(M1);
88 if (M2) gsl_matrix_free(M2);
89 if (M3) gsl_matrix_free(M3);
90 if (M4) gsl_matrix_free(M4);
91 if (M5) gsl_matrix_free(M5);
92 if (Mevec) gsl_matrix_free(Mevec);
93 if (CC) gsl_matrix_free(CC);
94 if (CC1) gsl_matrix_free(CC1);
95 if (CCinv) gsl_matrix_free(CCinv);
96 if (permM) gsl_permutation_free(permM);
97 if (ws) gsl_eigen_symmv_free(ws);
98
99 x = nullptr;
100 xold = nullptr;
101 xbest = nullptr;
102 dx = nullptr;
103 dxscal = nullptr;
104 grad = nullptr;
105 y = nullptr;
106 yscal = nullptr;
107 perr = nullptr;
108 v1 = nullptr;
109 v2 = nullptr;
110 Meval = nullptr;
111 M = nullptr;
112 Mscal = nullptr;
113 M1 = nullptr;
114 M2 = nullptr;
115 M3 = nullptr;
116 M4 = nullptr;
117 M5 = nullptr;
118 Mevec = nullptr;
119 CC = nullptr;
120 CC1 = nullptr;
121 CCinv = nullptr;
122 permM = nullptr;
123 ws = nullptr; wsdim = 0;
124 }
125
126
127
128 double NewtonFitterGSL::fit()
129 {
130
131 // order parameters etc
132 initialize();
133
134 // initialize eta, etasv, y
135 assert(x && (unsigned int)x->size == idim);
136 assert(dx && (unsigned int)dx->size == idim);
137 assert(y && (unsigned int)y->size == idim);
138 assert(perr && (unsigned int)perr->size == idim);
139 assert(v1 && (unsigned int)v1->size == idim);
140 assert(v2 && (unsigned int)v2->size == idim);
141 assert(Meval && (unsigned int)Meval->size == idim);
142 assert(M && (unsigned int)M->size1 == idim);
143 assert(M1 && (unsigned int)M1->size1 == idim);
144 assert(Mevec && (unsigned int)Mevec->size1 == idim);
145 assert(permM && (unsigned int)permM->size == idim);
146
147 gsl_vector_set_zero(x);
148 gsl_vector_set_zero(y);
149 gsl_vector_set_all(perr, 1);
150
151 // Store old x values in xold
152 fillxold();
153 // make sure parameters are consistent
154 updateParams(xold);
155 fillxold();
156 // Get starting values into x
157 gsl_vector_memcpy(x, xold);
158
159
160 // LET THE GAMES BEGIN
161
162#ifndef FIT_TRACEOFF
163 if (tracer) tracer->initialize(*this);
164#endif
165
166 bool converged = false;
167 ierr = 0;
168
169 chi2new = calcChi2();
170 nit = 0;
171 if (debug > 1) {
172 B2INFO("Fit objects:\n");
173 for (auto fo : fitobjects) {
174 assert(fo);
175 B2INFO(fo->getName() << ": " << *fo << ", chi2=" << fo->getChi2());
176 for (int ilocal = 0; ilocal < fo->getNPar(); ++ilocal) {
177 if (!fo->isParamFixed(ilocal)) {
178 int iglobal = fo->getGlobalParNum(ilocal);
179 B2INFO(" par " << fo->getParamName(ilocal) << ": local: " << ilocal << ": global: " << iglobal
180 << " value=" << fo->getParam(ilocal) << " +- " << fo->getError(ilocal));
181 if (fo->isParamMeasured(ilocal))
182 B2INFO(" measured: " << fo->getMParam(ilocal));
183 } else {
184 B2INFO(" par " << fo->getParamName(ilocal) << ": local: " << ilocal << " -- fixed -- "
185 << " value=" << fo->getParam(ilocal) << " +- " << fo->getError(ilocal));
186
187 }
188 }
189 }
190 B2INFO("constraints:\n");
191 for (auto i = constraints.begin(); i != constraints.end(); ++i) {
192 BaseHardConstraint* c = *i;
193 assert(c);
194 B2INFO(i - constraints.begin() << " " << c->getName() << ": " << c->getValue() << "+-" << c->getError());
195 int kglobal = c->getGlobalNum();
196 B2INFO(" global number: " << kglobal);
197 }
198 B2INFO("soft constraints:\n");
199 for (auto i = softconstraints.begin(); i != softconstraints.end(); ++i) {
200 BaseSoftConstraint* c = *i;
201 assert(c);
202 B2INFO(i - softconstraints.begin() << " " << c->getName() << ": " << c->getValue() << "+-" << c->getError()
203 << ", chi2: " << c->getChi2());
204 }
205 }
206
207 do {
208
209 chi2old = chi2new;
210
211 if (nit == 0 || nit < nitdebug) {
212 B2DEBUG(11, "===================\nStarting iteration " << nit);
213 std::string printout = "\n Fit objects:\n";
214 for (auto fo : fitobjects) {
215 assert(fo);
216 printout += fo->getName();
217 printout += ", chi2=" ;
218 printout += fo->getChi2();
219 printout += "\n";
220 }
221 printout += "constraints:\n";
222 for (auto c : constraints) {
223 assert(c);
224 printout += c->getName() ;
225 printout += ": ";
226 printout += c->getValue();
227 printout += "+-" ;
228 printout += c->getError() ;
229 printout += "\n";
230 }
231 printout += "soft constraints:\n";
232 for (auto c : softconstraints) {
233 assert(c);
234 printout += c->getName() ;
235 printout += ": ";
236 printout += c->getValue() ;
237 printout += "+-" ;
238 printout += c->getError();
239 printout += ", chi2: ";
240 printout += c->getChi2() ;
241 printout += "\n";
242 }
243 B2DEBUG(12, printout);
244 }
245
246 // Store old x values in xold
247 fillxold();
248 // Fill errors into perr
249 fillperr();
250
251 // Compose M:
252 calcM();
253
254 // Now, calculate the result vector y with the values of the derivatives
255 // d chi^2/d x
256 calcy();
257
258 if (nit == 0 || nit < nitdebug) {
259 B2DEBUG(13, "After setting up equations: \n");
260 debug_print(M, "M");
261 debug_print(Mscal, "Mscal");
262 debug_print(y, "y");
263 debug_print(yscal, "yscal");
264 debug_print(perr, "perr");
265 debug_print(x, "x");
266 debug_print(xold, "xold");
267 }
268
269 scalevals[0] = 0;
270 fvals[0] = 0.5 * pow(gsl_blas_dnrm2(yscal), 2);
271 fvalbest = fvals[0];
272 stepsize = 0;
273 scalebest = 0;
274 stepbest = 0;
275
276 int ifail = calcDx();
277 if (ifail != 0) {
278 B2INFO("NewtonFitterGSL::fit: calcDx: ifail=" << ifail);
279 ierr = 2;
280 break;
281 }
282 // Update values in Fitobjects
283 updateParams(xbest);
284
285 if (debug > 1) {
286 debug_print(xbest, "new parameters");
287 }
288
289 calcy();
290 B2DEBUG(13, "New fval: " << 0.5 * pow(gsl_blas_dnrm2(yscal), 2));
291 chi2new = calcChi2();
292 B2DEBUG(13, "chi2: " << chi2old << " -> " << chi2new);
293
294 if (nit == 0 || nit < nitdebug) {
295 B2DEBUG(13, "After solving equations: \n");
296 debug_print(xbest, "xbest");
297 }
298
299
300// *-- Convergence criteria
301
302 if (nit < nitdebug) {
303 B2DEBUG(11, "old chi2: " << chi2old << ", new chi2: " << chi2new << ", diff=" << chi2old - chi2new);
304 }
305 ++nit;
306 if (nit > 200) ierr = 1;
307
308 converged = (abs(chi2new - chi2old) < 0.001 && fvalbest < 1E-3 &&
309 (fvalbest < 1E-6 || abs(fvals[0] - fvalbest) < 0.2 * fvalbest));
310
311// if (abs (chi2new - chi2old) >= 0.001)
312// B2INFO( "abs (chi2new - chi2old)=" << abs (chi2new - chi2old) << " -> try again\n");
313// if (fvalbest >= 1E-3)
314// B2INFO("fvalbest=" << fvalbest << " -> try again\n");
315// if (fvalbest >= 1E-6 && abs(fvals[0]-fvalbest) >= 0.2*fvalbest )
316// B2INFO("fvalbest=" << fvalbest
317// << ", abs(fvals[0]-fvalbest)=" << abs(fvals[0]-fvalbest)<< " -> try again\n");
318// if (stepbest >= 1E-3)
319// B2INFO("stepbest=" << stepbest << " -> try again\n");
320// B2INFO( "converged=" << converged);
321 if (converged) {
322 B2DEBUG(10, "abs (chi2new - chi2old)=" << abs(chi2new - chi2old) << "\n"
323 << "fvalbest=" << fvalbest << "\n"
324 << "abs(fvals[0]-fvalbest)=" << abs(fvals[0] - fvalbest) << "\n");
325 }
326
327#ifndef FIT_TRACEOFF
328 if (tracer) tracer->step(*this);
329#endif
330
331 } while (!(converged || ierr));
332
333// *-- End of iterations - calculate errors.
334
335// ERROR CALCULATION
336
337 if (!ierr) {
338
339 calcCovMatrix();
340
341 // update errors in fitobjects
342 for (auto& fitobject : fitobjects) {
343 for (int ilocal = 0; ilocal < fitobject->getNPar(); ++ilocal) {
344 int iglobal = fitobject->getGlobalParNum(ilocal);
345 for (int jlocal = ilocal; jlocal < fitobject->getNPar(); ++jlocal) {
346 int jglobal = fitobject->getGlobalParNum(jlocal);
347 if (iglobal >= 0 && jglobal >= 0)
348 fitobject->setCov(ilocal, jlocal, gsl_matrix_get(CCinv, iglobal, jglobal));
349 }//CCinv
350 }
351 }
352 }
353
354
355 std::string printout = "\n ========= END =========\n";
356 printout += "Fit objects:\n";
357 for (auto fo : fitobjects) {
358 assert(fo);
359 printout += fo->getName() ;
360 printout += ": ";
361 printout += ", chi2=" ;
362 printout += fo->getChi2() ;
363 printout += "\n";
364 }
365 printout += "constraints:\n";
366 for (auto c : constraints) {
367 assert(c);
368 printout += c->getName();
369 printout += ": ";
370 printout += c->getValue();
371 printout += "+-" ;
372 printout += c->getError();
373 printout += "\n";
374 }
375 printout += "=============================================\n";
376 B2DEBUG(11, printout);
377
378// *-- Turn chisq into probability.
379 fitprob = (chi2new >= 0 && ncon + nsoft - nunm > 0) ? gsl_cdf_chisq_Q(chi2new, ncon + nsoft - nunm) : -1;
380
381#ifndef FIT_TRACEOFF
382 if (tracer) tracer->finish(*this);
383#endif
384
385 B2DEBUG(10, "NewtonFitterGSL::fit: converged=" << converged
386 << ", nit=" << nit << ", fitprob=" << fitprob);
387
388 if (ierr > 0) fitprob = -1;
389
390 return fitprob;
391
392 }
393
394 bool NewtonFitterGSL::initialize()
395 {
396 covValid = false;
397
398 // tell fitobjects the global ordering of their parameters:
399 npar = 0;
400 nunm = 0;
401
402 for (auto& fitobject : fitobjects) {
403 for (int ilocal = 0; ilocal < fitobject->getNPar(); ++ilocal) {
404 if (!fitobject->isParamFixed(ilocal)) {
405 B2DEBUG(13, "NewtonFitterGSL::initialize: parameter " << ilocal
406 << " of fitobject " << fitobject->getName()
407 << " gets global number " << npar);
408 fitobject->setGlobalParNum(ilocal, npar);
409 ++npar;
410 if (!fitobject->isParamMeasured(ilocal)) ++nunm;
411 }
412 }
413 }
414
415 // set number of constraints
416 ncon = constraints.size();
417 // Tell the constraints their numbers
418 for (int icon = 0; icon < ncon; ++icon) {
419 BaseHardConstraint* c = constraints[icon];
420 assert(c);
421 B2DEBUG(13, "NewtonFitterGSL::initialize: constraint " << c->getName()
422 << " gets global number " << npar + icon);
423 c->setGlobalNum(npar + icon);
424 B2DEBUG(14, "Constraint " << icon << " -> global " << c->getGlobalNum());
425 }
426
427 nsoft = softconstraints.size();
428
429 if (nunm > ncon + nsoft) {
430 B2ERROR("NewtonFitterGSL::initialize: nunm=" << nunm << " > ncon+nsoft="
431 << ncon << "+" << nsoft);
432 }
433
434 idim = npar + ncon;
435
436 ini_gsl_vector(x, idim);
437 ini_gsl_vector(xold, idim);
438 ini_gsl_vector(xbest, idim);
439 ini_gsl_vector(dx, idim);
440 ini_gsl_vector(dxscal, idim);
441 ini_gsl_vector(grad, idim);
442 ini_gsl_vector(y, idim);
443 ini_gsl_vector(yscal, idim);
444 ini_gsl_vector(perr, idim);
445 ini_gsl_vector(v1, idim);
446 ini_gsl_vector(v2, idim);
447 ini_gsl_vector(Meval, idim);
448
449 ini_gsl_matrix(M, idim, idim);
450 ini_gsl_matrix(Mscal, idim, idim);
451 ini_gsl_matrix(M1, idim, idim);
452 ini_gsl_matrix(M2, idim, idim);
453 ini_gsl_matrix(M3, idim, idim);
454 ini_gsl_matrix(M4, idim, idim);
455 ini_gsl_matrix(M5, idim, idim);
456 ini_gsl_matrix(Mevec, idim, idim);
457 ini_gsl_matrix(CC, idim, idim);
458 ini_gsl_matrix(CC1, idim, idim);
459 ini_gsl_matrix(CCinv, idim, idim);
460
461 ini_gsl_permutation(permM, idim);
462
463 if (ws && wsdim != idim) {
464 gsl_eigen_symmv_free(ws);
465 ws = nullptr;
466 }
467 if (ws == nullptr) ws = gsl_eigen_symmv_alloc(idim);
468 wsdim = idim;
469
470 return true;
471
472 }
473
474 double NewtonFitterGSL::calcChi2()
475 {
476 chi2 = 0;
477 for (auto fo : fitobjects) {
478 assert(fo);
479 chi2 += fo->getChi2();
480 }
481 for (auto bsc : softconstraints) {
482 assert(bsc);
483 chi2 += bsc->getChi2();
484 }
485 return chi2;
486 }
487
488 void NewtonFitterGSL::printMy(const double Ma[], const double yo[], int idime)
489 {
490 for (int i = 0; i < idime; ++i) {
491 B2INFO(i << " [ " << Ma[idime * i + 0]);
492 for (int j = 1; j < idime; ++j) B2INFO(", " << Ma[idime * i + j]);
493 B2INFO("] [" << yo[i] << "]\n");
494 }
495 }
496
497 int NewtonFitterGSL::getError() const {return ierr;}
498 double NewtonFitterGSL::getProbability() const {return fitprob;}
499 double NewtonFitterGSL::getChi2() const {return chi2;}
500 int NewtonFitterGSL::getDoF() const {return ncon + nsoft - nunm;}
501 int NewtonFitterGSL::getIterations() const {return nit;}
502
503 int NewtonFitterGSL::calcDx()
504 {
505 B2DEBUG(11, "entering calcDx");
506 nitcalc++;
507 // from x_(n+1) = x_n - y/y' = x_n - M^(-1)*y we have M*(x_n-x_(n+1)) = y,
508 // which we solve for dx = x_n-x_(n+1) and hence x_(n+1) = x_n-dx
509
510 gsl_matrix_memcpy(M1, Mscal);
511
512
513 int ifail = 0;
514
515 int signum;
516 int result = gsl_linalg_LU_decomp(M1, permM, &signum);
517 B2DEBUG(11, "calcDx: gsl_linalg_LU_decomp result=" << result);
518 // Solve M1*dx = y
519 ifail = gsl_linalg_LU_solve(M1, permM, yscal, dxscal);
520 B2DEBUG(11, "calcDx: gsl_linalg_LU_solve result=" << ifail);
521
522 if (ifail != 0) {
523 B2ERROR("NewtonFitter::calcDx: ifail from gsl_linalg_LU_solve=" << ifail);
524// return calcDxSVD();
525 return -1;
526 }
527 stepsize = std::abs(gsl_vector_get(dxscal, gsl_blas_idamax(dxscal)));
528
529 // dx = dxscal*perr (component wise)
530 gsl_vector_memcpy(dx, dxscal);
531 gsl_vector_mul(dx, perr);
532
533 // optimize scale
534
535 gsl_vector_memcpy(xbest, xold);
536 chi2best = chi2old;
537
538 optimizeScale();
539
540 if (scalebest < 0.01) {
541 B2DEBUG(11, "NewtonFitter::calcDx: reverting to calcDxSVD\n");
542 return calcDxSVD();
543 }
544
545 return 0;
546 }
547
548 int NewtonFitterGSL::calcDxSVD()
549 {
550
551 nitsvd++;
552 // from x_(n+1) = x_n - y/y' = x_n - M^(-1)*y we have M*(x_n-x_(n+1)) = y,
553 // which we solve for dx = x_n-x_(n+1) and hence x_(n+1) = x_n-dx
554
555 for (unsigned int i = 0; i < idim; ++i) assert(gsl_vector_get(perr, i) > 0);
556
557 // Get eigenvalues and eigenvectors of Mscal
558 int ierrc = 0;
559 gsl_matrix_memcpy(M1, Mscal);
560 B2DEBUG(13, "NewtonFitterGSL::calcDxSVD: Calling gsl_eigen_symmv");
561 ierrc = gsl_eigen_symmv(M1, Meval, Mevec, ws);
562 B2DEBUG(13, "NewtonFitterGSL::calcDxSVD: result of gsl_eigen_symmv: ");
563 if (ierrc != 0) {
564 B2ERROR("NewtonFitter::calcDxSVD: ierr=" << ierrc << "from gsl_eigen_symmv!\n");
565 }
566 // Sort the eigenvalues and eigenvectors in descending order in magnitude
567 ierrc = gsl_eigen_symmv_sort(Meval, Mevec, GSL_EIGEN_SORT_ABS_DESC);
568 if (ierrc != 0) {
569 B2ERROR("NewtonFitter::calcDxSVD: ierr=" << ierrc << "from gsl_eigen_symmv_sort!\n");
570 }
571
572
573 // The eigenvectors are stored in the columns of Mevec;
574 // the eigenvectors are orthonormal, therefore Mevec^T = Mevec^-1
575 // Therefore, Mscal = Mevec * diag(Meval)* Mevec^T, and
576 // Mscal^-1 = (Mevec^T)^-1 * diag(Meval)^-1 * Mevec^-1
577 // = Mevec * diag(Meval)^-1 * Mevec^T
578 // So, the solution of M*dx = y is given by
579 // dx = M^-1 * y = Mevec * diag(Meval)^-1 * Mevec^-1 *y
580 // = Mevec * v2
581 // For the pseudoinverse, the last elements of Meveal^-1 are set
582 // to 0, therefore the last elements of v2 will be 0,
583 // therefore we can restrict the calculation of Mevec * v2
584 // to the first ndim rows.
585 // So, we calculate v2 only once, with only the inverse of zero eigenvalues
586 // set to 0, and then calculate Mevec * v2 for fewer and fewer rows
587
588
589 // Now M = U * s * V^T
590 // We want to solve M*dx = y, hence dx = V * s^-1 * U^T * y
591 // Calculate UTy first; we need only the first ndim entries
592 unsigned int ndim = 0;
593 while (ndim < idim && gsl_vector_get(Meval, ndim) != 0) ++ndim;
594
595 if (ndim < idim) {
596 B2INFO("calcDxSVD: idim = " << idim << " > ndim = " << ndim);
597 }
598
599
600 // Calculate v2 = 1*Mevec^T*y + 0*v2
601 gsl_blas_dgemv(CblasTrans, 1, Mevec, yscal, 0, v2);
602
603 // Divide by nonzero eigenvalues
604 for (unsigned int i = 0; i < idim; ++i) {
605 if (double e = gsl_vector_get(Meval, i)) gsl_vector_set(v2, i, gsl_vector_get(v2, i) / e);
606 else gsl_vector_set(v2, i, 0);
607 }
608
609 stepsize = 0;
610
611 do {
612 gsl_vector_view v2part = gsl_vector_subvector(v2, 0, ndim);
613 gsl_matrix_view Mevecpart = gsl_matrix_submatrix(Mevec, 0, 0, idim, ndim);
614
615 // Calculate dx = 1*Mevecpart^T*v2 + 0*dx
616 gsl_blas_dgemv(CblasNoTrans, 1, &Mevecpart.matrix, &v2part.vector, 0, dxscal);
617 // get maximum element
618// for (unsigned int i = 0; i < idim; ++i) {
619// if(std::abs(gsl_vector_get (dxscal, i))>stepsize)
620// stepsize=std::abs(gsl_vector_get (dxscal, i));
621// }
622 stepsize = std::abs(gsl_vector_get(dxscal, gsl_blas_idamax(dxscal)));
623
624 // dx = dxscal*perr (component wise)
625 gsl_vector_memcpy(dx, dxscal);
626 gsl_vector_mul(dx, perr);
627
628 if (debug > 1) {
629 B2INFO("calcDxSVD: Optimizing scale for ndim=" << ndim);
630 debug_print(dxscal, "dxscal");
631 }
632
633 optimizeScale();
634
635 --ndim;
636
637 if (scalebest < 0.01 || ndim < idim - 1) {
638 B2DEBUG(11, "ndim=" << ndim << ", scalebest=" << scalebest);
639 }
640 } while (ndim > 0 && scalebest < 0.01);
641
642
643 return 0;
644 }
645
646 void NewtonFitterGSL::ini_gsl_permutation(gsl_permutation*& p, unsigned int size)
647 {
648 if (p) {
649 if (p->size != size) {
650 gsl_permutation_free(p);
651 if (size > 0) p = gsl_permutation_alloc(size);
652 else p = nullptr;
653 }
654 } else if (size > 0) p = gsl_permutation_alloc(size);
655 }
656
657 void NewtonFitterGSL::ini_gsl_vector(gsl_vector*& v, unsigned int size)
658 {
659
660 if (v) {
661 if (v->size != size) {
662 gsl_vector_free(v);
663 if (size > 0) v = gsl_vector_alloc(size);
664 else v = nullptr;
665 }
666 } else if (size > 0) v = gsl_vector_alloc(size);
667 }
668
669 void NewtonFitterGSL::ini_gsl_matrix(gsl_matrix*& m, unsigned int size1, unsigned int size2)
670 {
671 if (m) {
672 if (m->size1 != size1 || m->size2 != size2) {
673 gsl_matrix_free(m);
674 if (size1 * size2 > 0) m = gsl_matrix_alloc(size1, size2);
675 else m = nullptr;
676 }
677 } else if (size1 * size2 > 0) m = gsl_matrix_alloc(size1, size2);
678 }
679
680 void NewtonFitterGSL::debug_print(gsl_matrix* m, const char* name)
681 {
682 for (unsigned int i = 0; i < m->size1; ++i)
683 for (unsigned int j = 0; j < m->size2; ++j)
684 if (gsl_matrix_get(m, i, j) != 0)
685 B2INFO(name << "[" << i << "][" << j << "]=" << gsl_matrix_get(m, i, j));
686 }
687
688 void NewtonFitterGSL::debug_print(gsl_vector* v, const char* name)
689 {
690 for (unsigned int i = 0; i < v->size; ++i)
691 if (gsl_vector_get(v, i) != 0)
692 B2INFO(name << "[" << i << "]=" << gsl_vector_get(v, i));
693 }
694
695 int NewtonFitterGSL::getNcon() const {return ncon;}
696 int NewtonFitterGSL::getNsoft() const {return nsoft;}
697 int NewtonFitterGSL::getNunm() const {return nunm;}
698 int NewtonFitterGSL::getNpar() const {return npar;}
699
700 bool NewtonFitterGSL::updateParams(gsl_vector* xnew)
701 {
702 assert(xnew);
703 assert(xnew->size == idim);
704 bool significant = false;
705 for (auto i = fitobjects.begin(); i != fitobjects.end(); ++i) {
706 BaseFitObject* fo = *i;
707 assert(fo);
708 bool s = fo->updateParams(xnew->block->data, xnew->size);
709 significant |= s;
710 if (nit < nitdebug && s) {
711 B2DEBUG(11, "Significant update for FO " << i - fitobjects.begin() << " ("
712 << fo->getName() << ")\n");
713 }
714 }
715 return significant;
716 }
717
718
719 void NewtonFitterGSL::fillxold()
720 {
721 assert(xold);
722 assert(xold->size == idim);
723 for (auto fo : fitobjects) {
724 assert(fo);
725 for (int ilocal = 0; ilocal < fo->getNPar(); ++ilocal) {
726 if (!fo->isParamFixed(ilocal)) {
727 int iglobal = fo->getGlobalParNum(ilocal);
728 assert(iglobal >= 0 && iglobal < npar);
729 gsl_vector_set(xold, iglobal, fo->getParam(ilocal));
730 }
731 }
732 }
733 for (auto c : constraints) {
734 assert(c);
735 int iglobal = c->getGlobalNum();
736 assert(iglobal >= 0 && iglobal < (int)idim);
737 gsl_vector_set(xold, iglobal, gsl_vector_get(x, iglobal));
738 }
739 }
740
741 void NewtonFitterGSL::fillperr()
742 {
743 assert(perr);
744 assert(perr->size == idim);
745 gsl_vector_set_all(perr, 1);
746 for (auto fo : fitobjects) {
747 assert(fo);
748 for (int ilocal = 0; ilocal < fo->getNPar(); ++ilocal) {
749 if (!fo->isParamFixed(ilocal)) {
750 int iglobal = fo->getGlobalParNum(ilocal);
751 assert(iglobal >= 0 && iglobal < npar);
752 double e = std::abs(fo->getError(ilocal));
753 gsl_vector_set(perr, iglobal, e ? e : 1);
754 }
755 }
756 }
757 for (auto c : constraints) {
758 assert(c);
759 int iglobal = c->getGlobalNum();
760 assert(iglobal >= 0 && iglobal < (int)idim);
761 double e = c->getError();
762 gsl_vector_set(perr, iglobal, e ? 1 / e : 1);
763 }
764 }
765
766 int NewtonFitterGSL::calcM(bool errorpropagation)
767 {
768 assert(M);
769 assert(M->size1 == idim && M->size2 == idim);
770
771 gsl_matrix_set_zero(M);
772
773 // First, all terms d^2 chi^2/dx1 dx2
774 for (auto fo : fitobjects) {
775 assert(fo);
776 fo->addToGlobalChi2DerMatrix(M->block->data, M->tda);
777 }
778 if (debug > 3) {
779 B2INFO("After adding covariances from fit objects:\n");
780 debug_print(M, "M");
781 }
782
783 // Second, all terms d^2 chi^2/dlambda dx,
784 // i.e. the first derivatives of the constraints,
785 // plus the second derivatives times the lambda values
786 for (auto c : constraints) {
787 assert(c);
788 int kglobal = c->getGlobalNum();
789 assert(kglobal >= 0 && kglobal < (int)idim);
790 c->add1stDerivativesToMatrix(M->block->data, M->tda);
791 if (debug > 3) {
792 B2INFO("After adding first derivatives of constraint " << c->getName());
793 debug_print(M, "M");
794 B2INFO("errorpropagation = " << errorpropagation);
795 }
796 // for error propagation after fit,
797 //2nd derivatives of constraints times lambda should _not_ be included!
798 if (!errorpropagation) c->add2ndDerivativesToMatrix(M->block->data, M->tda, gsl_vector_get(x, kglobal));
799 }
800 if (debug > 3) {
801 B2INFO("After adding derivatives of constraints::\n");
802 debug_print(M, "M");
803 B2INFO("===========================================::\n");
804 }
805
806
807 // Finally, treat the soft constraints
808
809 for (auto bsc : softconstraints) {
810 assert(bsc);
811 bsc->add2ndDerivativesToMatrix(M->block->data, M->tda);
812 }
813 if (debug > 3) {
814 B2INFO("After adding soft constraints::\n");
815 debug_print(M, "M");
816 B2INFO("===========================================::\n");
817 }
818
819 // Rescale columns and rows by perr
820 for (unsigned int i = 0; i < idim; ++i)
821 for (unsigned int j = 0; j < idim; ++j)
822 gsl_matrix_set(Mscal, i, j,
823 gsl_vector_get(perr, i)*gsl_vector_get(perr, j)*gsl_matrix_get(M, i, j));
824
825 return 0;
826 }
827
828
829 int NewtonFitterGSL::calcy()
830 {
831 assert(y);
832 assert(y->size == idim);
833 gsl_vector_set_zero(y);
834 // First, for the parameters
835 for (auto fo : fitobjects) {
836 assert(fo);
837 fo->addToGlobalChi2DerVector(y->block->data, y->size);
838 }
839
840 // Now add lambda*derivatives of constraints,
841 // And finally, the derivatives w.r.t. to the constraints, i.e. the constraints themselves
842 for (auto c : constraints) {
843 assert(c);
844 int kglobal = c->getGlobalNum();
845 assert(kglobal >= 0 && kglobal < (int)idim);
846 c->addToGlobalChi2DerVector(y->block->data, y->size, gsl_vector_get(x, kglobal));
847 gsl_vector_set(y, kglobal, c->getValue());
848 }
849
850 // Finally, treat the soft constraints
851
852 for (auto bsc : softconstraints) {
853 assert(bsc);
854 bsc->addToGlobalChi2DerVector(y->block->data, y->size);
855 }
856 gsl_vector_memcpy(yscal, y);
857 gsl_vector_mul(yscal, perr);
858 return 0;
859 }
860
861 int NewtonFitterGSL::optimizeScale()
862 {
863 updateParams(xold);
864 calcy();
865 if (debug > 1) {
866 B2INFO("NewtonFitterGSL::optimizeScale");
867 debug_print(xold, "xold");
868 debug_print(yscal, "yscal");
869 debug_print(dx, "dx");
870 debug_print(dxscal, "dxscal");
871 }
872 scalevals[0] = 0;
873 fvals[0] = 0.5 * pow(gsl_blas_dnrm2(yscal), 2);
874 B2DEBUG(11, "NewtonFitterGSL::optimizeScale: fvals[0] = " << fvals[0]);
875 // -dx is a direction
876 // we want to minimize f=0.5*|y|^2 in that direction with y=grad chi2
877 // The gradient grad f is given by grad f = d^chi^2/dxi dxj * dchi^2/dxj
878 // = Mscal*yscal
879
880 // Calculate grad = 1*Mscal*yscal + 0*grad
881 gsl_blas_dgemv(CblasNoTrans, 1, Mscal, yscal, 0, grad);
882 if (debug > 1) {
883 debug_print(grad, "grad");
884 }
885
886 // Code adapted from Numerical Recipes (3rd ed), page 479
887 // routine lnsrch
888
889 int nite = 0;
890
891 static const double ALF = 1E-4;
892
893 stepsize = std::abs(gsl_vector_get(dxscal, gsl_blas_idamax(dxscal)));
894 static const double maxstepsize = 5;
895 double scalefactor = maxstepsize / stepsize;
896 if (stepsize > maxstepsize) {
897 gsl_vector_scale(dxscal, maxstepsize / stepsize);
898 B2DEBUG(12, "NewtonFitterGSL::optimizeScale: Rescaling dxscal by factor " << scalefactor);
899 stepsize = std::abs(gsl_vector_get(dxscal, gsl_blas_idamax(dxscal)));
900 if (debug > 1) {
901 debug_print(dxscal, "dxscal");
902 }
903 }
904
905 double slope;
906 gsl_blas_ddot(dxscal, grad, &slope);
907 slope *= -1;
908 B2DEBUG(12, "NewtonFitterGSL::optimizeScale: slope=" << slope
909 << ", 2*fvals[0]*factor=" << 2 * fvals[0]*scalefactor);
910
911 scale = 1;
912 double tmpscale, scaleold = 1;
913 do {
914 // sets x = xold
915 gsl_vector_memcpy(x, xold);
916 // x = scale*dx + x
917 if (debug > 1) {
918 debug_print(x, "x(1)");
919 }
920 gsl_blas_daxpy(-scale, dx, x);
921 if (debug > 1) {
922 debug_print(x, "x(2)");
923 }
924
925 updateParams(x);
926 calcy();
927 if (debug > 1) {
928 debug_print(x, "x(3)");
929 debug_print(yscal, "yscal");
930 }
931 ++nite;
932 scalevals[nite] = scale;
933 fvals[nite] = 0.5 * pow(gsl_blas_dnrm2(yscal), 2);
934
935 chi2new = calcChi2();
936
937
938// if (chi2new <= chi2best && fvals[nite] <= fvalbest) {
939// if ((fvals[nite] < fvalbest && chi2new <= chi2best) ||
940// (fvals[nite] < 1E-4 && chi2new < chi2best)) {
941 if ((fvals[nite] < fvalbest)) {
942 B2DEBUG(13, "new best value: "
943 << " scale " << scalevals[nite] << " -> |y|^2 = " << fvals[nite]
944 << ", chi2=" << chi2new << ", old best chi2: " << chi2best);
945 gsl_vector_memcpy(xbest, x);
946 chi2best = chi2new;
947 fvalbest = fvals[nite];
948 scalebest = scale;
949 stepbest = scale * stepsize;
950 }
951
952 if (fvals[nite] < fvals[0] + ALF * scale * slope) break;
953 if (nite == 1) {
954 tmpscale = -slope / (2 * (fvals[nite] - fvals[0] - slope));
955 B2DEBUG(13, "quadratic estimate for best scale: " << tmpscale);
956 } else {
957 double rhs1 = fvals[nite] - fvals[0] - scale * slope;
958 double rhs2 = fvals[nite - 1] - fvals[0] - scaleold * slope;
959 double a = (rhs1 / (scale * scale) - rhs2 / (scaleold * scaleold)) / (scale - scaleold);
960 double b = (-scaleold * rhs1 / (scale * scale) + scale * rhs2 / (scaleold * scaleold)) / (scale - scaleold);
961 if (a == 0) tmpscale = -slope / (2 * b);
962 else {
963 double disc = b * b - 3 * a * slope;
964 if (disc < 0) tmpscale = 0.5 * scale;
965 else if (b <= 0) tmpscale = (-b + sqrt(disc)) / (3 * a);
966 else tmpscale = -slope / (b + sqrt(disc));
967 }
968 B2DEBUG(13, "cubic estimate for best scale: " << tmpscale);
969 if (tmpscale > 0.5 * scale) tmpscale = 0.5 * scale;
970 }
971 scaleold = scale;
972 scale = (tmpscale < 0.1 * scale) ? 0.1 * scale : tmpscale;
973 B2DEBUG(11, "New scale: " << scale);
974
975 } while (nite < NITMAX && scale > 0.0001);
976
977 if (debug > 1) {
978 for (int it = 0; it <= nite; ++it) {
979 B2INFO(" scale " << scalevals[it] << " -> |y|^2 = " << fvals[it]
980 << " should be " << fvals[0] + ALF * scale * slope);
981 }
982 }
983 return chi2best < chi2old;
984 }
985
986 int NewtonFitterGSL::invertM()
987 {
988 gsl_matrix_memcpy(M1, M);
989
990 int ifail = 0;
991
992 int signum;
993 // Calculate LU decomposition of M into M1
994 int result = gsl_linalg_LU_decomp(M1, permM, &signum);
995 B2DEBUG(11, "invertM: gsl_linalg_LU_decomp result=" << result);
996 // Calculate inverse of M
997 ifail = gsl_linalg_LU_invert(M1, permM, M);
998 B2DEBUG(11, "invertM: gsl_linalg_LU_solve result=" << ifail);
999
1000 if (ifail != 0) {
1001 B2ERROR("NewtonFitter::invert: ifail from gsl_linalg_LU_invert=" << ifail);
1002 }
1003 return ifail;
1004 }
1005
1006 void NewtonFitterGSL::setDebug(int debuglevel)
1007 {
1008 debug = debuglevel;
1009 }
1010
1011
1012 void NewtonFitterGSL::calcCovMatrix()
1013 {
1014 // Set up equation system M*dadeta + dydeta = 0
1015 // here, dadeta is d a / d eta, i.e. the derivatives of the fitted
1016 // parameters a w.r.t. to the measured parameters eta,
1017 // and dydeta is the derivative of the set of equations
1018 // w.r.t eta, i.e. simply d^2 chi^2 / d a d eta.
1019 // Now, if chi2 = (a-eta)^T*Vinv((a-eta), we have simply
1020 // d^2 chi^2 / d a d eta = - d^2 chi^2 / d a d a
1021 // and can use the method addToGlobalChi2DerMatrix.
1022
1023 gsl_matrix_set_zero(M1);
1024 gsl_matrix_set_zero(M2);
1025 // First, all terms d^2 chi^2/dx1 dx2
1026 for (auto fo : fitobjects) {
1027 assert(fo);
1028 fo->addToGlobalChi2DerMatrix(M1->block->data, M1->tda);
1029 fo->addToGlobCov(M2->block->data, M2->tda);
1030 }
1031
1032 // multiply by -1
1033 gsl_matrix_scale(M1, -1);
1034
1035 // JL: dy/eta are the derivatives of the "objective function" with respect to the MEASURED parameters.
1036 // Since the soft constraints do not depend on the measured, but only on the fitted (!) parameters,
1037 // dy/deta stays -1*M1 also in the presence of soft constraints!
1038 gsl_matrix_view dydeta = gsl_matrix_submatrix(M1, 0, 0, idim, npar);
1039 gsl_matrix_view Cov_eta = gsl_matrix_submatrix(M2, 0, 0, npar, npar);
1040
1041 if (debug > 3) {
1042 B2INFO("NewtonFitterGSL::calcCovMatrix\n");
1043 debug_print(&dydeta.matrix, "dydeta");
1044 debug_print(&Cov_eta.matrix, "Cov_eta"); \
1045 }
1046
1047 // JL: calculates d^2 chi^2 / dx1 dx2 + first (!) derivatives of hard & soft constraints, and the
1048 // second derivatives of the soft constraints times the values of the fitted parameters
1049 // - all of the with respect to the FITTED parameters, therefore with soft constraints like in the fit itself.
1050 calcM(true);
1051
1052 if (debug > 3) {
1053 debug_print(M, "M");
1054 }
1055
1056 // Now, solve M*dadeta = dydeta
1057
1058 // Calculate LU decomposition of M into M3
1059 int signum;
1060 int result = gsl_linalg_LU_decomp(M, permM, &signum);
1061
1062 if (debug > 3) {
1063 B2INFO("invertM: gsl_linalg_LU_decomp result=" << result);
1064 debug_print(M, "M_LU");
1065 }
1066
1067 // Calculate inverse of M, store in M3
1068 int ifail = gsl_linalg_LU_invert(M, permM, M3);
1069
1070 if (debug > 3) {
1071 B2INFO("invertM: gsl_linalg_LU_invert ifail=" << ifail);
1072 debug_print(M3, "Minv");
1073 }
1074
1075 // Calculate dadeta = M3*dydeta
1076 gsl_matrix_set_zero(M4);
1077 gsl_matrix_view dadeta = gsl_matrix_submatrix(M4, 0, 0, idim, npar);
1078
1079 if (debug > 3) {
1080 debug_print(&dadeta.matrix, "dadeta");
1081 }
1082
1083 // dadeta = 1*M*dydeta + 0*dadeta
1084 gsl_blas_dgemm(CblasNoTrans, CblasNoTrans, 1, M3, &dydeta.matrix, 0, &dadeta.matrix);
1085
1086
1087 // Now calculate Cov_a = dadeta*Cov_eta*dadeta^T
1088
1089 // First, calculate M3 = Cov_eta*dadeta^T as
1090 gsl_matrix_view M3part = gsl_matrix_submatrix(M3, 0, 0, npar, idim);
1091 gsl_blas_dgemm(CblasNoTrans, CblasTrans, 1, &Cov_eta.matrix, &dadeta.matrix, 0, &M3part.matrix);
1092 // Now Cov_a = dadeta*M3part
1093 gsl_matrix_set_zero(M5);
1094 gsl_matrix_view Cov_a = gsl_matrix_submatrix(M5, 0, 0, npar, npar);
1095 gsl_blas_dgemm(CblasNoTrans, CblasNoTrans, 1, &dadeta.matrix, &M3part.matrix, 0, M5);
1096 gsl_matrix_memcpy(CCinv, M5);
1097
1098 if (debug > 3) {
1099 debug_print(&Cov_a.matrix, "Cov_a");
1100 debug_print(CCinv, "full Cov from err prop");
1101 debug_print(M1, "uncorr Cov from err prop");
1102 }
1103
1104 // Finally, copy covariance matrix
1105 if (cov && covDim != npar) {
1106 delete[] cov;
1107 cov = nullptr;
1108 }
1109 covDim = npar;
1110 if (!cov) cov = new double[covDim * covDim];
1111 for (int i = 0; i < covDim; ++i) {
1112 for (int j = 0; j < covDim; ++j) {
1113 cov[i * covDim + j] = gsl_matrix_get(&Cov_a.matrix, i, j);
1114 }
1115 }
1116 covValid = true;
1117 }
1118
1119
1120 double NewtonFitterGSL::meritFunction(double mu)
1121 {
1122 double result = 0;
1123 switch (imerit) {
1124 case 1: // l1 penalty function, Nocedal&Wright Eq. (15.24)
1125 result = chi2;
1126 for (auto c : constraints) {
1127 assert(c);
1128 int kglobal = c->getGlobalNum();
1129 assert(kglobal >= 0 && kglobal < (int)idim);
1130 result += mu * std::fabs(c->getValue());
1131 }
1132 break;
1133 default: assert(0);
1134 }
1135 return result;
1136 }
1137
1138 double NewtonFitterGSL::meritFunctionDeriv()
1139 {
1140 double result = 0;
1141 switch (imerit) {
1142 case 1:
1143 break;
1144 default: assert(0);
1145 }
1146 return result;
1147 }
1148
1149 }// end OrcaKinFit namespace
1151} // end Belle2 namespace
1152
Belle2::OrcaKinFit::BaseFitObject::updateParams
virtual bool updateParams(double p[], int idim)
Read values from global vector, readjust vector; return: significant change.
Definition: BaseFitObject.cc:196
Belle2::OrcaKinFit::BaseFitObject::getNPar
virtual int getNPar() const =0
Get total number of parameters of this FitObject.
Belle2::OrcaKinFit::BaseFitObject::addToGlobalChi2DerMatrix
virtual void addToGlobalChi2DerMatrix(double *M, int idim) const
Add 2nd derivatives of chi squared to global derivative matrix.
Definition: BaseFitObject.cc:462
Belle2::OrcaKinFit::BaseFitObject::getError
virtual double getError(int ilocal) const
Get error of parameter ilocal.
Definition: BaseFitObject.cc:383
Belle2::OrcaKinFit::BaseFitObject::getGlobalParNum
virtual int getGlobalParNum(int ilocal) const
Get global parameter number of parameter ilocal.
Definition: BaseFitObject.cc:365
Belle2::OrcaKinFit::BaseFitObject::getName
virtual const char * getName() const
Get object's name.
Definition: BaseFitObject.cc:107
Belle2::OrcaKinFit::BaseFitObject::isParamFixed
virtual bool isParamFixed(int ilocal) const
Returns whether parameter is fixed.
Definition: BaseFitObject.cc:408
Belle2::OrcaKinFit::BaseFitObject::getParam
virtual double getParam(int ilocal) const
Get current value of parameter ilocal.
Definition: BaseFitObject.cc:371
Belle2::OrcaKinFit::BaseFitObject::addToGlobalChi2DerVector
virtual int addToGlobalChi2DerVector(double *y, int idim) const
Add derivatives of chi squared to global derivative vector.
Definition: BaseFitObject.cc:482
Belle2::OrcaKinFit::BaseFitObject::addToGlobCov
virtual void addToGlobCov(double *glcov, int idim) const
Add covariance matrix elements to global covariance matrix of size idim x idim.
Definition: BaseFitObject.cc:217
Belle2::OrcaKinFit::BaseFitter::cov
double * cov
global covariance matrix of last fit problem
Definition: BaseFitter.h:104
Belle2::OrcaKinFit::BaseFitter::covValid
bool covValid
Flag whether global covariance is valid.
Definition: BaseFitter.h:105
Belle2::OrcaKinFit::BaseFitter::covDim
int covDim
dimension of global covariance matrix
Definition: BaseFitter.h:103
Belle2::OrcaKinFit::BaseHardConstraint
Abstract base class for constraints of kinematic fits.
Definition: BaseHardConstraint.h:75
Belle2::OrcaKinFit::BaseSoftConstraint
Abstract base class for soft constraints of kinematic fits.
Definition: BaseSoftConstraint.h:71
Belle2::OrcaKinFit::BaseTracer::step
virtual void step(BaseFitter &fitter)
Called at the end of each step.
Definition: BaseTracer.cc:35
Belle2::OrcaKinFit::BaseTracer::initialize
virtual void initialize(BaseFitter &fitter)
Called at the start of a new fit (during initialization)
Definition: BaseTracer.cc:30
Belle2::OrcaKinFit::BaseTracer::finish
virtual void finish(BaseFitter &fitter)
Called at the end of a fit.
Definition: BaseTracer.cc:45
Belle2::OrcaKinFit::NewtonFitterGSL::ncon
int ncon
total number of hard constraints
Definition: NewtonFitterGSL.h:107
Belle2::OrcaKinFit::NewtonFitterGSL::calcDxSVD
int calcDxSVD()
Calculate the vector dx to update the parameters; returns fail code, 0=OK.
Definition: NewtonFitterGSL.cc:548
Belle2::OrcaKinFit::NewtonFitterGSL::npar
int npar
total number of parameters
Definition: NewtonFitterGSL.h:106
Belle2::OrcaKinFit::NewtonFitterGSL::calcChi2
virtual double calcChi2()
Calculate the chi2.
Definition: NewtonFitterGSL.cc:474
Belle2::OrcaKinFit::NewtonFitterGSL::printMy
void printMy(const double M[], const double y[], int idim)
Print a Matrix M and a vector y of dimension idim.
Definition: NewtonFitterGSL.cc:488
Belle2::OrcaKinFit::NewtonFitterGSL::getNsoft
virtual int getNsoft() const
Get the number of soft constraints of the last fit.
Definition: NewtonFitterGSL.cc:696
Belle2::OrcaKinFit::NewtonFitterGSL::fit
virtual double fit() override
The fit method, returns the fit probability.
Definition: NewtonFitterGSL.cc:128
Belle2::OrcaKinFit::NewtonFitterGSL::initialize
virtual bool initialize() override
Initialize the fitter.
Definition: NewtonFitterGSL.cc:394
Belle2::OrcaKinFit::NewtonFitterGSL::getNcon
virtual int getNcon() const
Get the number of hard constraints of the last fit.
Definition: NewtonFitterGSL.cc:695
Belle2::OrcaKinFit::NewtonFitterGSL::nsoft
int nsoft
total number of soft constraints
Definition: NewtonFitterGSL.h:108
Belle2::OrcaKinFit::NewtonFitterGSL::getError
virtual int getError() const override
Get the error code of the last fit: 0=OK, 1=failed.
Definition: NewtonFitterGSL.cc:497
Belle2::OrcaKinFit::NewtonFitterGSL::nunm
int nunm
total number of unmeasured parameters
Definition: NewtonFitterGSL.h:109
Belle2::OrcaKinFit::NewtonFitterGSL::calcDx
int calcDx()
Calculate the vector dx to update the parameters; returns fail code, 0=OK.
Definition: NewtonFitterGSL.cc:503
Belle2::OrcaKinFit::NewtonFitterGSL::getNunm
virtual int getNunm() const
Get the number of unmeasured parameters of the last fit.
Definition: NewtonFitterGSL.cc:697
Belle2::OrcaKinFit::NewtonFitterGSL::getIterations
virtual int getIterations() const override
Get the number of iterations of the last fit.
Definition: NewtonFitterGSL.cc:501
Belle2::OrcaKinFit::NewtonFitterGSL::getProbability
virtual double getProbability() const override
Get the fit probability of the last fit.
Definition: NewtonFitterGSL.cc:498
Belle2::OrcaKinFit::NewtonFitterGSL::setDebug
virtual void setDebug(int debuglevel)
Set the Debug Level.
Definition: NewtonFitterGSL.cc:1006
Belle2::OrcaKinFit::NewtonFitterGSL::getDoF
virtual int getDoF() const override
Get the number of degrees of freedom of the last fit.
Definition: NewtonFitterGSL.cc:500
Belle2::OrcaKinFit::NewtonFitterGSL::getChi2
virtual double getChi2() const override
Get the chi**2 of the last fit.
Definition: NewtonFitterGSL.cc:499
Belle2::OrcaKinFit::NewtonFitterGSL::getNpar
virtual int getNpar() const
Get the number of all parameters of the last fit.
Definition: NewtonFitterGSL.cc:698
Belle2::OrcaKinFit::NewtonFitterGSL::~NewtonFitterGSL
virtual ~NewtonFitterGSL()
Virtual destructor.
Definition: NewtonFitterGSL.cc:70
Belle2
Abstract base class for different kinds of events.
Definition: ClusterUtils.h:24